The highly conserved protease TASP1 not only takes part in critical site-specific proteolysis, but also plays an important role in numerous liquid and solid malignancies. However, the TASP1 expression and its biological regulation function in malignant gallbladder carcinoma (GBC) remain fully unknown. Here we observed that TASP1 levels were substantially overexpressed in GBC samples compared with non-tumor tissues. High TASP1 level was closely associated with T stage and metastasis, and was also correlated with poor prognosis in GBC patients. The depletion of TASP1 inhibited GBC cell proliferation and metastasis in vitro and in vivo. Furthermore, we first revealed that FAM49B had biological function and was positively regulated by TASP1 activating PI3K/AKT signaling pathway in GBC. At the same time, FAM49B also promoted GBC cell proliferation and migration. Inhibition of PI3K/AKT with LY294002 or FAM49B expression abrogated Myc-TASP1/Lv-shTASP1-induced GBC cell proliferation and motility. In conclusion, these findings demonstrate that TASP1 is critical for GBC progression via TASP1-PI3K/AKT-FAM49B axis and it may be a novel prognostic factor. The therapeutic targeting TASP1 may be a potential treatment approach for GBC patients.
BackgroundSuper-enhancers (SEs) are clusters of transcriptional active enhancers, which dictate the expression of genes defining cell identity and play an important role in the development and progression of tumors and other diseases. Many key cancer oncogenes are driven by super-enhancers, and the mutations associated with common diseases such as Alzheimer’s disease are significantly enriched with super-enhancers. Super-enhancers have shown great potential for the identification of key oncogenes and the discovery of disease-associated mutational sites.ResultsIn this paper, we propose a new computational method called DEEPSEN for predicting super-enhancers based on convolutional neural network. The proposed method integrates 36 kinds of features. Compared with existing approaches, our method performs better and can be used for genome-wide prediction of super-enhancers. Besides, we screen important features for predicting super-enhancers.ConclusionConvolutional neural network is effective in boosting the performance of super-enhancer prediction.
Bromodomain containing protein 4 (BRD4) has been demonstrated to play a critical role in tumor progression. However, the expression and function of BRD4 in gallbladder cancer (GBC) are still unknown. In this study, we report that BRD4 expression level was significantly upregulated in GBC tissues and GBC cell lines. We explored the correlation between BRD4 levels and clinicopathological data of GBC patients. The high expression level of BRD4 was notably correlated with the poor prognosis of GBC patients. Knockdown of BRD4 suppressed proliferation and migration in NOZ and EH-GB1 cells. The depletion of BRD4 in GBC cell lines resulted in obvious cell apoptosis and downregulated the expression levels of Bcl-2, p-PI3K and p-AKT. In vivo, tumor volumes of nude mice were significantly decreased in BRD4 silenced group. Our data suggested that downregulation of BRD4 in GBC cells induced apoptosis by PI3K/AKT pathway. Inhibition of BRD4 expression may be a novel therapeutic strategy for patients with GBC.
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